AFSC RACE Groundfish and Shellfish Survey Public Data

AFSC RACE Groundfish and Shellfish Survey Public Data

Data created in this repo

GAP_PRODUCTS.CPUE

This is a test table. Zero-filled haul-level catch per unit effort (units in kg/km2).

rows: 42200740 | cols: 8 | 1.8 GB

GAP_PRODUCTS.BIOMASS

This is a test table. Stratum/subarea/management area/region-level mean/variance CPUE (weight and numbers), total biomass (with variance), total abundance (with variance). The ‘AREA_ID’ field replaces the ‘STRATUM’ field name to generalize the description to include different types of areas (strata, subareas, regulatory areas, regions, etc.). Use the GAP_PRODUCTS.AREA table to look up the values of AREA_ID for your particular region. Note confidence intervals are currently not supported in the GAP_PRODUCTS version of the biomass/abundance tables. The associated variance of estimates will suffice as the metric of variability to use.

rows: 5343337 | cols: 17 | 0.3 GB

GAP_PRODUCTS.AGECOMP

This is a test table. Region-level abundance by sex/age.

rows: 719695 | cols: 10 | 0.0 GB

GAP_PRODUCTS.SIZECOMP

This is a test table. Stratum/subarea/management area/region-level abundance by sex/length bin. Sex-specific columns (i.e., MALES, FEMALES, UNSEXED), previously formatted in historical versions of this table, are melted into a single column (called ‘SEX’) similar to the AGECOMP tables with values 1/2/3 for M/F/U. The ‘AREA_ID’ field replaces the ‘STRATUM’ field name to generalize the description to include different types of areas (strata, subareas, regulatory areas, regions, etc.). Use the GAP_PRODUCTS.AREA table to look up the values of AREA_ID for your particular region.

rows: 3439200 | cols: 8 | 0.1 GB

GAP_PRODUCTS.STRATUM_GROUPS

This is a table

rows: 744 | cols: 5 | 17,212.0 B

GAP_PRODUCTS.AREA

This is a table

rows: 473 | cols: 11 | 47,398.0 B

GAP_PRODUCTS.SURVEY_DESIGN

This is a table

rows: 126 | cols: 5 | 3,283.0 B

GAP_PRODUCTS.TAXONOMICS_WORMS

This dataset includes an identification catalog for all species caught in GAP surveys. These taxonomic tables are cross-referenced with the World Register of Marine Species (https://www.marinespecies.org) and compiled by by the Resource Assessment and Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC). There are legal restrictions on access to the data. These data are not intended for public dissemination and should not be shared without the explicit written consent of the data managers and owners (NOAA Fisheries). The GitHub repository for the scripts that created this code can be found at https://github.com/afsc-gap-products/gap_products/. For more information about codes used in the tables, please refer to the survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual). These data were last updated June 23, 2023.

rows: 2762 | cols: 23 | 636,249.0 B

GAP_PRODUCTS.TAXONOMICS_ITIS

This dataset includes an identification catalog for all species caught in GAP surveys. These taxonomic tables are cross-referenced with the Integrated Taxonomic Information System (https://www.itis.gov/) and compiled by by the Resource Assessment and Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC). There are legal restrictions on access to the data. These data are not intended for public dissemination and should not be shared without the explicit written consent of the data managers and owners (NOAA Fisheries). The GitHub repository for the scripts that created this code can be found at https://github.com/afsc-gap-products/gap_products/. For more information about codes used in the tables, please refer to the survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual). These data were last updated June 23, 2023.

rows: 2762 | cols: 23 | 627,123.0 B

GAP_PRODUCTS.TAXON_CONFIDENCE

The quality and specificity of field identifications for many taxa have fluctuated over the history of the surveys due to changing priorities and resources. The matrix lists a confidence level for each taxon for each survey year and is intended to serve as a general guideline for data users interested in assessing the relative reliability of historical species identifications on these surveys. This dataset includes an identification confidence matrix for all fishes and invertebrates identified by the Resource Assessment and Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC).Quality Codes: 1: High confidence and consistency. Taxonomy is stable and reliable at this level, and field identification characteristics are well known and reliable. 2: Moderate confidence. Taxonomy may be questionable at this level, or field identification characteristics may be variable and difficult to assess consistently. 3: Low confidence. Taxonomy is incompletely known, or reliable field identification characteristics are unknown. NA: Unassessed. Taxonomy quality has not been assessed. There are legal restrictions on access to the data. These data are not intended for public dissemination and should not be shared without the explicit written consent of the data managers and owners (NOAA Fisheries). The GitHub repository for the scripts that created this code can be found at https://github.com/afsc-gap-products/gap_products/. For more information about codes used in the tables, please refer to the survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual). These data were last updated June 23, 2023.

rows: 117852 | cols: 7 | 346,187.0 B

GAP_PRODUCTS.METADATA_COLUMN

These tables provide the column metadata for all GAP oracle tables. These tables are created by the Resource Assessment and Conservation Engineering Division (RACE) Groundfish Assessment Program (GAP) of the Alaska Fisheries Science Center (AFSC). The GitHub repository for the scripts that created this code can be found at https://github.com/afsc-gap-products/gap_products/. These data were last updated June 23, 2023. There are no legal restrictions on access to the data. For more information about codes used in the tables, please refer to the survey code books (https://www.fisheries.noaa.gov/resource/document/groundfish-survey-species-code-manual-and-data-codes-manual).

rows: 133 | cols: 7 | 24,348.0 B